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Welcome to the Coursera course, Industrial Internet of Things (IoT) on Google Cloud Platform (GCP) brought to you by the Google Cloud team. I’m Catherine Gamboa and I’m going to be your guide.
This course covers the entire Industrial IoT network architecture from sensors and devices to analysis. The course discusses sensors and devices but the focus is on the cloud side. You'll learn about the importance of scaling, device communication, and processing streaming data. The course uses simulated devices in the labs to allow you to concentrate on learning the cloud side of IIoT. The course is a little different than most Coursera courses because there is very little video. Most of the learning is done with short readings, quizzes, and labs.
This course takes about two weeks to complete, 11-12 hours of work with 6 of those hours spent in labs. By the end of this course, you’ll be able to: create a streaming data pipeline, to create registries with Cloud IoT Core, topics and subscriptions with Cloud Pub/Sub, store data on Google Cloud Storage, query the data in BigQuery, and gain data insights with Dataprep. You'll learn and practice these skills in 7 labs. Then you'll have an opportunity to test yourself in an optional capstone lab using simulated devices or Cloud IoT Core Inspector.

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Welcome to analyzing data with BigQuery. In this module, you use BigQuery to analyze streaming IoT data. You'll do this by creating a BigQuery table and streaming data to it using a streaming data pipeline. Then you create a query to analyze the data. Most of what I just said should sound very familiar to you. You've already created a streaming data pipeline to Google Cloud Storage. Now, you're just changing the destination as data. You'll do all this in one lab, streaming IoT data to BigQuery. The lab is 90 minutes long, and you'll create registries, devices, Pub/Sub topics, and a Dataflow pipeline from a template before you begin to analyze data with BigQuery. By this time, you should be very familiar with the ingest and process stage of the IoT platform, which means, you'll probably zoom through a lot of the lab. This will give you an opportunity to really experience analysis with BigQuery. I hope you enjoy this module and you're foray into IoT data analysis with BigQuery.